Dataset Information

Emotion dysregulation as an explanatory factor in the relation between negative affectivity and non-medical use of opioid in a diverse young adult sample.

ABSTRACT: The non-medical use of prescription opioids is an area of increasing public health concern, particularly among young college-age adults (ages 18-25) who demonstrate an increased risk of opioid-related problems. Negative mood states are consistently associated with more severe non-medical use of opioid. Emotion dysregulation defined an impaired ability to understand, evaluate, and differentiate one's emotions, and access strategies to regulate them could play an explanatory role in this association. The present study examined the potential explanatory role of emotion dysregulation in the relationship between negative affectivity and non-medical use of prescription opioid among a racially/ethnically diverse young adult sample (N?=?2080, 78.7% female, Mage?=?21.9, SD?=?4.9) attending a large southwestern state university, and across the two sub-samples of individuals with and without pain. Results indicated that emotion dysregulation explained, in part, the association between negative affectivity and non-medical use of opioid-related variables, including self-reported addiction to opioids, denial of opioid prescription by a healthcare provider, and family concerns about participant's opioid use. These indirect effects were comparable across individuals with and without pain. Findings suggest that targeting emotion dysregulation may be one therapeutic strategy to reduce non-medical use of opioid in the context of negative affectivity among college students.

SUBMITTER: Bakhshaie J

PROVIDER: S-EPMC7061416 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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Emotion dysregulation as an explanatory factor in the relation between negative affectivity and non-medical use of opioid in a diverse young adult sample.

Bakhshaie Jafar J Rogers Andrew H AH Kauffman Brooke Y BY Tran Nhan N Buckner Julia D JD Ditre Joseph W JW Zvolensky Michael J MJ

Addictive behaviors 20190308

The non-medical use of prescription opioids is an area of increasing public health concern, particularly among young college-age adults (ages 18-25) who demonstrate an increased risk of opioid-related problems. Negative mood states are consistently associated with more severe non-medical use of opioid. Emotion dysregulation defined an impaired ability to understand, evaluate, and differentiate one's emotions, and access strategies to regulate them could play an explanatory role in this associati ...[more]

PMID: 30877901

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Project description:BackgroundResearch suggests that families' knowledge and cultural perceptions of autism spectrum disorder (ASD), and beliefs about its etiology and prognosis, can affect parents' recognition of the first signs of autism in their children and influence help seeking and treatment decisions.ObjectiveThis study investigated explanatory models of autism among parents of young children with ASD in the multicultural context of Sweden.MethodSeventeen parents from diverse cultural, ethnic and linguistic backgrounds participated in semi-structured interviews. A deductive approach to qualitative content analysis was used to analyze data. Five domains of the Explanatory Model supplementary module of the Cultural Formulation Interview (CFI) were used as coding categories, operationalized as 'Parents' understanding of autism'; 'Autism prototypes'; 'Causal explanations'; 'Course of autism', and 'Help seeking and treatment expectations'.ResultsThe results showed that parents' prior knowledge of autism and experience of young children's typical developmental trajectories, as well as the opinions of children's grandparents and preschool teachers, affected symptom recognition and help seeking. There were differences in parents' explanatory models before and after ASD diagnosis. Initial interpretations of the disorder included medical conditions and reaction to environmental influences, while genetic, supernatural/religious factors, and vaccinations were mentioned as definite causes after obtaining a clinical diagnosis. Parents also held multiple explanatory models, influenced by the views of family members and information obtained from media or from health care professionals. Parents' treatment decisions included use of available state-funded support services, and complementary and alternative treatments.ConclusionThe results demonstrate the utility of the CFI's Explanatory Model supplementary module in autism research. Implications for clinical practice are discussed.

Project description:OBJECTIVE:The opioid crisis has had devastating effects on individuals and communities, and it has rapidly increased in severity. However, we still lack nationally representative information on the diversity of comorbidity patterns among prescription opioid use disorder (P-OUD), other substance use disorders (SUDs), and psychopathology using the newest edition of the Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM-5; American Psychiatric Association, 2013). This impedes planning for multiple aspects of intervention, including society-wide allocation of treatment resources, program design at individual treatment centers, and personalized care to individual patients. METHOD:To address this critical gap in information, we evaluated clinical profiles of American adults via latent class analysis in a large, recently collected epidemiological dataset that uses structured diagnostic assessment for DSM-5 psychopathology (National Epidemiologic Survey on Alcohol and Related Conditions-III; N = 36,309). Variables considered for profiles included lifetime diagnosis for multiple SUDs, various externalizing and internalizing conditions, and demographic variables. We then associated clinical profiles with demographic variables and functional impairment. RESULTS:Comorbid psychopathology and other SUDs were common in latent classes with elevated and very high rates of P-OUD. To illustrate, alcohol use disorder rates were greater than 45%, and posttraumatic stress disorder rates were greater than 28% in classes with higher P-OUD rates. Higher P-OUD rates were associated with White/non-Hispanic and American Indian/Alaska Native populations. Relationships between P-OUD rates and functional impairment were inconsistent. CONCLUSION:Many current treatment delivery systems are not designed to accommodate the heterogeneous profiles associated with high P-OUD rates. We provide specific suggestions for improvements to the mental health service system, individual clinical care programs, and future research approaches. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Dataset Information

Emotion dysregulation as an explanatory factor in the relation between negative affectivity and non-medical use of opioid in a diverse young adult sample.

Publications

Emotion dysregulation as an explanatory factor in the relation between negative affectivity and non-medical use of opioid in a diverse young adult sample.

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